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close this bookClassification and Regression Trees, Cart TM - A user manual for identifying indicators of vulnerability to famine and chronic food insecurity + disk (IFPRI, 1999, 56 p.)
View the document(introduction...)
View the documentPreface
View the documentAcknowledgments
View the document1. Introduction
View the document2. Overview of CART
View the document3. Basic Principles of Cart Methodology
View the document4. Regression Trees: An Overview
View the document5. CART Software and Program Codes
View the document6. Refining CART Analyses
View the document7. Conclusions
Open this folder and view contentsAppendix 1: Condensed Examples of Classification-Tree Output (full output on diskette)
View the documentAppendix 2: A Condensed Example of Regression-Tree Output (full output on diskette)
View the documentReferences
View the documentBack Cover

Appendix 2: A Condensed Example of Regression-Tree Output (full output on diskette)


Node 1 was split on variable NDVIMNMX
A case goes left if variable NDVIMNMX £ 0.335000
Improvement = 95.212097 C.T. = 0.439885E+0.05


Figure

Node

Cases

Average

Standard Deviation


1

462

10.902165

19.447115


2

174

23.455744

25.835199


-3

288

3.317708

7.119483


Surrogate


Split

Association

Improvement


1 KRMTMNMN

s

0.335000

0.931034

88.178185


2 NDVIMXMX

s

0.475000

0.827586

84.152443


3 BEGAMXMN

s

0.365000

0.793103

62.045887


4 BEGAMNMN

s

0.300000

0.793103

68.704895


5 KRMTMXMN

s

0.475000

0.793103

79.163147


Competitor

Split


Improvement


1 KRMTMNMN

0.335000


88.177315


2 NDVIMXMX

0.475000


84.151741


3 KRMTMX

0.435000


81.044876


4 KRMTMXMN

0.475000


79.162216


5 KRMTMN

0.285000


78.868150


Node 2 was split on variable MZSHTTRD
A case goes left if variable MZSHTTRD £ 31.389999
Improvement = 58.391998 C.T = 0.269771E+0.05


Figure

Node

Cases

Average

Standard Deviation


2

174

23.455744

25.835199


-1

65

39.580002

28.492435


-2

109

13.840366

18.272223


Surrogate


Split

Associations

Improvement


1 MZSHTTDV

s

-0.780000

0.861539

38.192043


2 CERLPPDV

s

-0.085000

0.492308

26.714172


3 BELGMNDV

s

-0.855000

0.492308

39.261301


4 BEGAMNDV

s

-0.620000

0.369231

18.076315


5 KRMTMNDV

s

-1.150000

0.323077

27.505999


Competitor


Split


Improvement


1 BELGMNDV


-0.905000


43.058678


2 BEGAMNDV


-0.055000


40.379753


3 MZSHTTDV


-1.185000


39.435616


4 KRMTMXDV


-1.905000


37.680218


5 KRMTMNDV


-0.900000


32.776260

Note: C.T. stands for Complexity Threshold (the complexity parameter used in tree pruning).